ArticleJAMA network open2024
Geographic and Demographic Differences in the Proportion of Individuals Living in Households With a Firearm, 1990-2018.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Article
- Illegal firearms markets: Transaction patterns, evolving sources, and importance in criminal misuse.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Child access prevention laws and firearm storage in the US: Associations by law stringency and social vulnerability.Preventive medicine · 2026Article
- Are you worried someone in your household is at risk of suicide? Piloting ways to acceptably and feasibly increase safe firearm storage in rural Alaska.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026Article
- Do Children's Mental Health Symptoms Impact Their Access to Unlocked Guns at Home?Journal of the American Academy of Child and Adolescent Psychiatry · 2026Article
- Racial and ethnic disparities in fatal police shootings: Variation across U.S. states and the role of firearm ownership.PloS one · 2026Article
- Firearm Homicide in Pregnant Women and State-Level Firearm Ownership.JAMA network open · 2025Article
- Alignment between self- and perceived peer support for specific firearm policies: Results from a representative survey of adults in nine U.S. states.Preventive medicine reports · 2025Article
- A scoping review of empirical research on firearms and firearm violence among sexual and gender minority populations in the United States.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Article
- Suicide among physicians and the role of firearms in the USA: a cross-sectional study.BMJ public health · 2025Article
- Household Firearm Ownership and Firearm Mortality.JAMA network open · 2024Article
- Geographic and Demographic Differences in the Proportion of Individuals Living in Households With a Firearm, 1990-2018.JAMA network open · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Importance: Measures of the proportion of individuals living in households with a firearm (HFR), over time, across states, and by demographic groups are needed to evaluate disparities in firearm violence and the effects of firearm policies. Objective: To estimate HFR across states, years, and demographic groups in the US. Design, Setting, and Participants: In this survey study, substate HFR totals from 1990 to 2018 were estimated using bayesian multilevel regression with poststratification to analyze survey data on HFR from the Behavioral Risk Factor Surveillance System and the General Social Survey. HFR was estimated for 16 substate demographic groups defined by gender, race, marital status, and urbanicity in each state and year. Exposures: Survey responses indicating household firearm ownership were analyzed and compared with a common proxy for firearm ownership, the fraction of suicides completed with a firearm (FSS). Main Outcome and Measure: HFR, FSS, and their correlations and differences. Results: Among US adults in 2018, HFR was significantly higher among married, nonurban, non-Hispanic White and American Indian male individuals (65.0%; 95% credible interval [CI], 61.5%-68.7%) compared with their unmarried, urban, female counterparts from other racial and ethnic groups (7.3%; 95% CIs, 6.0%-9.2%). Marginal HFR rates for larger demographic groups also revealed important differences, with racial minority groups and urban dwellers having less than half the HFR of either White and American Indian (39.5%; 95% CI, 37.4%-42.9% vs 17.2%; 95% CI, 15.5%-19.9%) or nonurban populations (46.0%; 95% CI, 43.8%-49.5% vs 23.1%; 95% CI, 21.3%-26.2%). Population growth among groups less likely to own firearms, rather than changes in ownership within demographic groups, explains 30% of the 7 percentage point decline in HFR nationally from 1990 to 2018. Comparing HFR estimates with FSS revealed the expected high overall correlation across states (r = 0.84), but scaled FSS differed from HFR by as many as 20 percentage points for some states and demographic groups. Conclusions and Relevance: This survey study of HFR providing detailed, publicly available HFR estimates highlights key disparities among individuals in households with firearms across states and demographic groups; it also identifies potential biases in the use of FSS as a proxy for firearm ownership rates. These findings are essential for researchers, policymakers, and public health experts looking to address geographic and demographic disparities in firearm violence.
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